Amr Farahat

@AmrFouad_

MD/M.Sc/PhD candidate @ IMPRS for neural circuits. Medicine, neuroscience & AI - Former neuroradiology resident doctor

Vrijeme pridruživanja: ožujak 2009.

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  1. Prikvačeni tweet
    15. kol 2019.

    Delighted to announce that my paper just got accepted for publication in the Journal of Neural Engineering under Open Access license. Live now on the journal's website

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  2. proslijedio/la je Tweet
    3. velj

    Join us online in our meeting on Dimensionality Reduction and Population Dynamics in Neural Data Feb 11-14. The talks (well, most of them) are going to be streamed. Use the link in the meeting website below:

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  3. proslijedio/la je Tweet
    25. sij

    +1! IMHO the most successful machine learning system of all, internet search, is a great example of this. search is just a super powered externalised memory. the next-big-thing (TM) will be super powered externalised cognition. we want to augment ppl rather than automating them.

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  4. proslijedio/la je Tweet
    25. sij

    The reason Google’s new search design can claim to “boldy” label ads while making them difficult to distinguish has to do with something called pre-attentiveness.

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    The best explanation of how science works that I've seen in a long time (from ).

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  6. proslijedio/la je Tweet
    10. sij

    Assistant Prof. Vs. Full Professor getting a grant.

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  7. proslijedio/la je Tweet
    9. sij
    Odgovor korisniku/ci

    A photon checks into a hotel and is asked if he needs any help with his luggage. He says, “No I am traveling light”

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  8. 8. sij
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  9. proslijedio/la je Tweet
    6. sij

    Congrats to the .... We're happy to see our work published We show how changes the tune in the

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  10. 27. pro 2019.

    Four lessons I learned after my first full-time job after college

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  11. 15. pro 2019.
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  12. 13. pro 2019.
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  13. 5. pro 2019.

    Metamers of neural networks reveal divergence from human perceptual systems (). A new method to investigate how DNNs match the invariances of human visual and auditory systems. A fantastic explanatory video (). From

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  14. 2. pro 2019.

    Pre-readings recommended to the audience before the Debate : Yoshua Bengio | Gary Marcus :

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  15. proslijedio/la je Tweet
    1. pro 2019.

    It has been a long way but now it is (almost) out! Check out my first, first-author paper in my on how & task rule are represenred in the Many thanx to the great team of ✌

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  16. 26. stu 2019.

    Someone must have used this already in an imitation learning slide!

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  17. 24. stu 2019.

    The marvel of the human brain is proof that general intelligence is possible; creating AI is as much a journey of discovery into the inner workings of our own minds as it is an invention. on AI's potential

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  18. proslijedio/la je Tweet

    Neat! :) I expect a lot more can be done in this space. Why would you browse the web in an "unassisted legacy mode" in the future?

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  19. 15. stu 2019.

    Impressive work! Pytorch at Tesla.

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  20. proslijedio/la je Tweet

    Google: “It’s understandable that people want to ask questions about our work with Ascension.”

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  21. proslijedio/la je Tweet
    12. stu 2019.

    Want to improve accuracy and robustness of your model? Use unlabeled data! Our new work uses self-training on unlabeled data to achieve 87.4% top-1 on ImageNet, 1% better than SOTA. Huge gains are seen on harder benchmarks (ImageNet-A, C and P). Link:

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